DeepSeek Coder V2 Lite Instruct AWQ by TechxGenus

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  Arxiv:2401.06066   4-bit   Autotrain compatible   Awq   Codegen   Conversational   Custom code   Deepseek v2   Endpoints compatible   Instruct   Quantized   Region:us   Safetensors   Sharded   Tensorflow

DeepSeek Coder V2 Lite Instruct AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

DeepSeek Coder V2 Lite Instruct AWQ Parameters and Internals

LLM NameDeepSeek Coder V2 Lite Instruct AWQ
Repository 🤗https://huggingface.co/TechxGenus/DeepSeek-Coder-V2-Lite-Instruct-AWQ 
Model Size2.6b
Required VRAM9.1 GB
Updated2024-10-07
MaintainerTechxGenus
Model Typedeepseek_v2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureDeepseekV2ForCausalLM
Licenseother
Context Length163840
Model Max Length163840
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end▁of▁sentence|>
Vocabulary Size102400
Torch Data Typefloat16
DeepSeek Coder V2 Lite Instruct AWQ (TechxGenus/DeepSeek-Coder-V2-Lite-Instruct-AWQ)

Rank the DeepSeek Coder V2 Lite Instruct AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803